A Novel Tuning Based Contrast Adjustment Algorithm for Grayscale Fingerprint Image

In Filtering contrast, brightness and normalization of the image are

performed with an ultimate goal to remove or reduce the noise to a maximum extent.

Contrast and Brightness are two major factors, which affect the superiority of an

image for easy or stainless or pleasant viewing. Equalization through Histogram (HE)

is a very famous approach for image contrast adjustment or enhancement in image

processing. In general, the histogram equalization distributes pixel values consistently

and produces an outcome in a superior image with the linear increasing histogram.

Contrast adjustment is the part of image preprocessing and specifically filtering noise.

In this paper, the new algorithm is discussed for a Grayscale Fingerprint image. The

algorithm tunes pixel intensity value to a higher intensity value based on a constant

value τ. In this paper, we compare the new algorithm with Histogram Equalization

and try to find its advantages and disadvantages. This method is effectively used in

Fingerprint Identification/verification purpose as an alternative for image filtering.

The algorithm is implemented using MATLAB2015a.